Technology M&A research and due diligence
Worked acquisition examples for SaaS revenue quality, purchase-price reconciliation and product-overlap risk.
6 selected guides · Curated by AllMind
An acquisition case needs more than a target description and a headline multiple. This reading path examines the customer cohort behind revenue quality, the bridge from announced value to purchase consideration, and the competitive questions created by combining products.
The examples use public historical transactions. They show which evidence a deal team should resolve before carrying a number or a strategic claim into its own analysis; they are not access to a private data room or a legal opinion.
Work the deal evidence
Reconstruct revenue quality, acquisition value and the competition case.
SaaS Due Diligence: What 120% Net Retention Leaves Out
A Qualtrics case shows why retention cannot replace a revenue bridge. Use AllMind to connect SaaS metric definitions, deal documents and the diligence memo.
Read guide : SaaS Due Diligence: What 120% Net Retention Leaves OutTech M&A Valuation: Reconcile the Price Before the Multiple
Cisco's Splunk acquisition shows why headline equity value, purchase consideration and cash cost differ. Build a sourced price bridge with AllMind.
Read guide : Tech M&A Valuation: Reconcile the Price Before the MultipleTech M&A Research: When Product Fit Creates Deal Risk
Adobe-Figma shows how product complementarity and competitive overlap can coexist. Use AllMind to connect deal claims, regulatory evidence and the decision memo.
Read guide : Tech M&A Research: When Product Fit Creates Deal Risk
Extend the diligence process
Connect transaction-specific findings to screening, document review and thesis challenge.
AI for M&A Target Screening: From Universe to Deal File
A source-led workflow for building an M&A target universe, ranking candidates, and analyzing announced deals without mixing estimates with reported facts.
Read guide : AI for M&A Target Screening: From Universe to Deal FileAI Tools for Private Equity Due Diligence: A Buyer Workflow
A phase-by-phase private equity diligence workflow for data rooms, issue tracking, source control, commercial analysis, and investment-committee evidence.
Read guide : AI Tools for Private Equity Due Diligence: A Buyer WorkflowAI for Investment Thesis Validation: A Claim-Ledger Method
A practical method for turning an investment thesis into testable claims, cited evidence, disconfirming checks, and explicit monitoring triggers.
Read guide : AI for Investment Thesis Validation: A Claim-Ledger Method